3 research outputs found
A non-parametric efficiency and productivity analysis of transition banking
This thesis examines banking efficiency and the productivity of thirteen
transition Central and Eastern European banking systems during 1998-2003 using
Data Envelopment Analysis (DEA). It proposes a non-parametric methodology for
non-radial Russell output efficiency measure of banking firms, incorporating risk as
an undesirable output. In addition, the proposed efficiency measure handles
unrestricted data, i. e. both positive and negative. The Luenberger productivity index is
suggested, which is applicable to technology where the desirable and undesirable
outputs are jointly produced, and are possibly negative. Furthermore, the thesis
addresses the main issue in the literature on banking performance measurement,
which concerns the lack of consistency in the conceptual and theoretical
considerations in describing the banking production process. Consequently, a metaanalysis
tool, to examine the choice of inputs and outputs definitions in the banking
efficiency literature, is suggested. In addition, the performance measures are
estimated using three alternative definitions of the banking production process
focusing on the risk and environmental dimensions of bank efficiency and
productivity, with further comparative analysis using bootstrapping and kernel density
techniques. Overall, the empirical results suggest that in Central and Eastern Europe
Czech, Hungarian and Polish banks were the most technical efficient banks and the
banking risk was mainly affected by external environmental factors during the
analyzed period. Productivity analysis implies that the main driver of productivity
change in the Central and Eastern European banks is the technological improvement.
As meta-analysis revealed, the choice of particular approach of describing the banking
production process is determined not by the availability of particular input or output
variable information but the concepts of researcher's theoretical considerations.
Statistical tests and density analysis indicate that efficiency scores, returns parameters
and productivity indexes are sensitive to the choice of particular approaches
Returns to scale, spillovers and persistence: a network perspective of U.S. bank size
The methods for ray-scale economies (RSE) and expansion-path scale economies (EP SE) are extended to the dynamic spatial setting. We apply these methods to large U.S. banks using dynamic spatial cost and revenue models and key Öndings include the following. First, accounting for spillovers and dynamics strengthens the case for EP SE over RSE. Second, own, spillover and total EP SE are very persistent in future periods. Third, the EP SE suggest that an appropriate regulatory size cap would shift one systemically important bank to its contemporaneous optimal scale. However, the EP SE suggest that this would be a sub-optimal dynamic scale in future periods.</p
Returns to scale, spillovers and persistence: a network perspective of U.S. bank size
The methods for ray-scale economies (RSE) and expansion-path scale economies (EP SE) are extended to the dynamic spatial setting. We apply these methods to large U.S. banks using dynamic spatial cost and revenue models and key Öndings include the following. First, accounting for spillovers and dynamics strengthens the case for EP SE over RSE. Second, own, spillover and total EP SE are very persistent in future periods. Third, the EP SE suggest that an appropriate regulatory size cap would shift one systemically important bank to its contemporaneous optimal scale. However, the EP SE suggest that this would be a sub-optimal dynamic scale in future periods.</p